Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

Site favicon
Submitted: Jun 29, 2026, 3:52:47 AMCompleted: Jun 29, 2026, 3:53:58 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is lensanetworkblog-dpmeobwj7c3a.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/alex-pereira-vs-magomed-ankalaev-fight-time.html

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The page shows no credential or payment collection, no malware indicators, and only generic hosting‑platform signals; treat as a low‑to‑moderate risk informational article.

Risk Factors
Unknown sub‑domain creation date (could be brand new)
Unranked domain with no reputation
Hosted on a generic PaaS sub‑domain (edgeone.app)
High JavaScript obfuscation score (likely minified, but still notable)
Safety Factors
No forms that collect credentials or payment data
No malicious JavaScript patterns or credential exfiltration observed
No network IDS alerts or Safe Browsing threats
Content appears to be an informational article (og:type=article)
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Alex Pereira vs Magomed Ankalaev Fight Time: A Comprehensive Overview

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(87%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' is registered and includes subdomain 'lensanetworkblog-dpmeobwj7c3a'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/alex-pereira-vs-magomed-ankalaev-fight-time.html

Page Load Overview

4.20s
Total Load Time
13
HTTP Requests
10
Domains
67 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,467 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
87%
download file sharing
80%
blog personal website
79%
phishing scam
79%
technology software
75%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.168.176.154Singapore
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
223.52.181.181Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2142.251.20.95United States
AS15169Google LLC
135--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D62F827FAC1513867235455E986F2FCBE64942FE342C8F0B4ADA328A7C6BE70475258

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SGbhnYf8zX+9tkX9l6m+E5noNjag4n+ff:Rbhnz+9tkX9P+EyNjag4+3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14908:4AUSEpBFDgmqA+bOBMiDBIwAHgGAB4sJQBQE6hANNNWYyrsCZIUPQQpIAUXyQAgAA2QhATACEAgLJAAIixQA1AIEnwgQBwk8

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:197901013d217d61
Perceptual Hash:c31cc39ce13c3d3c
Difference Hash:f1c94161c1c1c1c1
Wavelet Hash:197d01017d7d7d61
Color Hash:#5366ac

Other Hashes

Crop Resistant:f1c94161c1c1c1c1

Scan History

Scan history not available

Unable to load historical scan data